Summer School on Neural Networks 1997: Vietri sul Mare, Salerno, Italy

@proceedings{DBLP:conf/nn/1997,
  editor    = {C. Lee Giles and
               Marco Gori},
  title     = {Adaptive Processing of Sequences and Data Structures, International
               Summer School on Neural Networks, "E.R. Caianiello", Vietri sul
               Mare, Salerno, Italy, September 6-13, 1997, Tutorial Lectures},
  booktitle = {Summer School on Neural Networks},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1387},
  year      = {1998},
  isbn      = {3-540-64341-9},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Architectures and Learning in Recurrent Neural Networks

• Ah Chung Tsoi:
  Recurrent Neural Network Architectures: An Overview. 1-26
  Electronic Edition (Springer LINK) BibTeX
• Ah Chung Tsoi:
  Gradient Based Learning Methods. 27-62
  Electronic Edition (Springer LINK) BibTeX
• Eric A. Wan, Françoise Beaufays:
  Diagrammatic Methods for Deriving and Relating Temporal Neural Network Algorithms. 63-98
  Electronic Edition (Springer LINK) BibTeX

Processing of Data Structures

• Paolo Frasconi:
  An Introduction to Learning Structured Information. 99-120
  Electronic Edition (Springer LINK) BibTeX
• Alessandro Sperduti:
  Neural Networks for Processing Data Structures. 121-144
  Electronic Edition (Springer LINK) BibTeX
• Marco Gori:
  The Loading Problem: Topics in Complexity. 145-167
  Electronic Edition (Springer LINK) BibTeX

Probabilistic Models

• Zoubin Ghahramani:
  Learning Dynamic Bayesian Networks. 168-197
  Electronic Edition (Springer LINK) BibTeX
• Pierre Baldi:
  Probabilistic Models of Neuronal Spike Trains. 198-228
  Electronic Edition (Springer LINK) BibTeX
• Lucas C. Parra:
  Temporal Models in Blind Source Separation. 229-247
  Electronic Edition (Springer LINK) BibTeX

Analog vs Symbolic Computation

• Marco Maggini:
  Recursive Neural Networks and Automata. 248-295
  Electronic Edition (Springer LINK) BibTeX
• Guo-Zheng Sun, C. Lee Giles, H. H. Chen:
  The Neural Network Pushdown Automaton: Architecture, Dynamics and Training. 296-345
  Electronic Edition (Springer LINK) BibTeX
• Hava T. Siegelmann:
  Neural Dynamics with Stochasticity. 346-369
  Electronic Edition (Springer LINK) BibTeX

Applications

• Michael Mozer, Debra Miller:
  Parsing the Stream of Time: The Value of Event-Based Segmentation in a Complex Real-World Control Problem. 370-388
  Electronic Edition (Springer LINK) BibTeX
• Hervé Bourlard, Nelson Morgan:
  Hybrid HMM/ANN Systems for Speech Recognition: Overview and New Research Directions. 389-417
  Electronic Edition (Springer LINK) BibTeX
• Patrick Gallinari:
  Predictive Models for Sequence Modelling, Application to Speech and Character Recognition. 418-434
  Electronic Edition (Springer LINK) BibTeX